Ego Realm: 108 Egocentric Video Clips of Horticulture, Kitchen, and Laundry Activities

108 video clips totaling over 10 hours of footage were recorded using a Pineye egocentric camera system. The dataset, created by Luel-ai, is organized into three categories: 8 clips for horticulture, and 50 clips each for kitchen and laundry activities. Videos are in Full HD resolution and were last updated on Hugging Face in January 2026.

Use Cases

• Train activity recognition models based on the categorized kitchen, laundry, and horticulture clips.
• Develop video understanding algorithms based on the Full HD, 30 fps footage.
• Benchmark egocentric vision systems based on the multi-scenario video collection.
• Analyze first-person perspective motion patterns based on the recorded activities.

Strengths

• 108 video clips provide a multi-scenario collection for egocentric vision.
• Total duration of 10:04:57 offers substantial video content for analysis.
• Full HD resolution (1920x1080) and 30 fps frame rate for 45 clips suggest good visual quality.
• Clear categorization into three activity domains (horticulture, kitchen, laundry) aids task definition.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset description is incomplete, referencing a full description on an external page.
• Row count and specific file formats beyond MP4 are unknown, which may limit suitability assessment.

Provenance

Source

Luel-ai on Hugging Face.

Collection Method

Recorded with a Pineye egocentric camera system.

Time Range

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Freshness

Last updated 2026-01-30 05:15:49; freshness should be verified.

Geography

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